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Filippo Franchini
Summary
I am a data scientist, software engineer and entrepreneur. I devise tools that help people to fill data gaps and make predictions, to automate and efficiently boost labour-intensive and time-consuming calculations, and to understand complex systems. I improved protocols and devised the first quiet multi-rotor acoustic drone to map sound sources from the air using only acoustic information.
I am currently searching for a position that allows me to apply and improve my coding skills as well as develop new methods and instruments using statistics, software engineering, machine learning and artificial intelligence.
Experience
Co-supervisor in Signal Processing, Machine Learning & Artificial Intelligence
SUPSI DTI (Department of Innovative Technologies)
Ticino, Switzerland
Present - 2020
- MSc student co-supervision and expert at MSc thesis presentation.
- Drone noise cancelling using a mixed approach of Machine Learning, Artificial Intelligence and Signal Processing techniques (R, Matlab).
Tutor, Demonstrator, Mentor and Consultant in Statistics
University of St Andrews, University of Essex, Tutorful Ltd.
St Andrews & Colchester, UK
Present - 2014
Co-founder, Administrator & Data Analyst
Ticino, Switzerland
Present - 2017
- Flight board and drone noise analyst (R, Python, Matlab).
- Media, marketing and business management.
- Partnerships with sponsors and suppliers.
- Patent application.
Co-founder and Instructor
Guidare con Stile Sagl
Ticino, Switzerland
2020 - 2011
- Organizing one-day courses on road security, law compliance, accident prevention, nutrition, and abuse of psychoactive substances.
- Facilitating group discussion on relevant road issues.
- Organizing meetings with other co-founders.
Data Scientist and Software Engineer
Ticino, Switzerland
2016 - 2013
- Big multivariate time series analysis.
- Validating, cleaning and standardizing data for exploratory analysis and pattern identification.
- Statistical modelling and software development (Excel Visual Basic, R) to replace data gaps and make temporal predictions.
Funding
CREEM Scholarship
PhD award of £70’000 to cover tuition fees and living expenses for a period of 3.5 years.
N/A
Present - 2017
National Geographic Standard Grant
Grant of $30’000 to fund the fieldwork and part of the technology development of my PhD.
N/A
2020 - 2019
EPSRC Impact Acceleration Account
Grant of £2500 to finance part of the technology development of my PhD.
N/A
2019
Prizes & Awards
Top 10 most influential people in Ticino (Switzerland), Ticinonews - 2019
EARFLY as top 10 best innovative start-ups, Boldbrain Start-Up Challenge - 2018
The Dean’s List, University of St Andrews - 2017
The Marine Biology Prize, University of Essex - 2016
Élite-sports award, Swiss Federal Sport Office - 2009
Additional Experience
Boldbrain Start-up Challenge, 90-days Accelerator including free coaching and workshops in Value Proposition, Finance, Pitching and Intellectual Property, September-December 2018
Swiss Army, Special Force Command, 2009
Interests
Competitive Gymnastics 2006-2014
Classic and electric guitar since 1997, 7 years at Classic Guitar School
Scuba Diving PADI Open Water Diver, Nitrox and Deep speciality.
Motorboat licence
Animal lover
Travelling
Education
PhD Student in Statistics & Statistical Computing
University of St Andrews, CREEM
Scotland, UK
Present - 2017
- New R-implemented statistical methodology to locate and map sound source using moving microphone arrays.
- Analysis of drone noise and flight data (R, Python, Matlab)
- Joint collaboration with the industry for the design and manufacture of the first acoustic multi-rotor drone as well as for drone noise cancelling.
- Successful National Geographic Standard Grant and EPSRC IAA applications.
- Organization and logistic planning of one-month fieldwork in Laos with Association Anoulak.
MSc in Applied Statistics (Marine Mammal Science)
Scotland, UK
2017 - 2016
- New R-implemented methodology that automates labour-intensive and time-consuming GIS spatial calculations as well as constructs density surfaces based on model predictions.
- Software development and parallel computing.
MSc in Applied Statistics (Biogeoscience)
Essex, UK
2015 - 2014
- New protocols to improve the quantification of small quantities of gases using a gas chromatograph.
- Monte-Carlo simulation and sensitivity analysis to estimate the biogenic gas release from coral reefs worldwide.